VirooPax Mirji

VirooPax Mirji

San Jose, California, United States
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About

With over 30 years of experience in enabling digital transformation through Data, AI, and…

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Activity

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Experience

  • Microsoft Graphic

    Microsoft

    Mountain View, California, United States

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    Santa Clara, California, United States

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    California, United States

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    Palo Alto, CA, USA

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    Palo Alto, California

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    Cupertino, CA

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    Cupertino, CA

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    Redwood Shores, CA

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    San Jose, CA & Dallas, TX

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    Mountain View, CA

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    Mountain View, CA

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    Cupertino, California, United States

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Education

  • Stanford University Graduate School of Business Graphic

    Stanford University Graduate School of Business

    -

    Activities and Societies: Ongoing MOOCs, Crash course on Creativity, Reframing problems, Connect and combine, Technology entrepreneurship. Advanced leadership learning courses.

    Thought Leaders Seminar on Entrepreneurship Corner: eCORNER

    http://ecorner.stanford.edu/

    http://venture-lab.org

  • -

    Activities and Societies: Advanced concepts, intuition & Hands-on exercises on Sequence Models with Machine translation, Natural Language Processing, Long Short Term Memory (LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network, Attention Models, Music Generation, Q-N-Answering system, Fast Language translation, Transformer / TensorFlow

    YDT97YQ883E4 Credential ID
    https://www.coursera.org/account/accomplishments/certificate/YDT97YQ883E4

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    Activities and Societies: Explored intuitions and methods around ConvNet, ResNet, LeNet-5, VGG, U-Net, AlexNet, FaceNet, DeepFace, Transfer Learning, Data Augmentation, Tensor Flows, Keras framework, Inception Net, Autonomous Driving related car detection algorithms, Art Generation, etc. as recommended by DeepLearning.AI

    From facial recognition, to autonomous driving related multiple object detection, to AI art generation -- covered the gamut of Convolutional Neural Nets. (CNN, R-CNN, EfficientNet, etc.)
    Covers the use of Keras framework and TensorFlows.

    It takes roughly 5 weeks to finish each course in the Specialization.

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    Activities and Societies: Heroes of Deep Learning , AI, Discourse, Simulator quiz for driverless tech, etc.

    ML Strategies, End to End Deep Learning,
    Deep Learning - Error Analysis and Corrections,
    Inductive Transfer,
    Machine Learning
    Multi-Task Learning
    Decision-Making

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    Activities and Societies: Tensorflow DL Frameworks, Deep Learning improvements, Mathematical Optimization, hyperparameter tuning, regularization, mini-batch optimizations, normalization. etc.

    Opened the deep learning black box to understand the processes that drive performance and generate good results systematically.

    Learned best practices to train and develop test sets and analyze bias/variance for building deep learning applications; able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as…

    Opened the deep learning black box to understand the processes that drive performance and generate good results systematically.

    Learned best practices to train and develop test sets and analyze bias/variance for building deep learning applications; able to use standard neural network techniques such as initialization, L2 and dropout regularization, hyperparameter tuning, batch normalization, and gradient checking; implement and apply a variety of optimization algorithms, such as mini-batch gradient descent, Momentum, RMSprop and Adam, and check for their convergence; and implement a neural network in TensorFlow.

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    Activities and Societies: Discourse for AI - Deep learning, AI Heroes, Whitepaper and article reviews on best practices for AI - Logistic Regression and DL.

    The Deep Learning Specialization is DeepLearning.AI's foundational program that will help one understand the capabilities, challenges, and consequences of deep learning and prepare one to participate in the development of leading-edge AI technology. It provides a pathway for one to gain the knowledge and skills to apply machine learning to everyday work, level up technical career, and take the definitive step in the world of AI. It includes programming exercises and quizzes on…

    The Deep Learning Specialization is DeepLearning.AI's foundational program that will help one understand the capabilities, challenges, and consequences of deep learning and prepare one to participate in the development of leading-edge AI technology. It provides a pathway for one to gain the knowledge and skills to apply machine learning to everyday work, level up technical career, and take the definitive step in the world of AI. It includes programming exercises and quizzes on :

    Artificial Neural Network (shallow vs. deep, 2-to-L layered neural network model building);
    Fundamental Math behind the Gradient Descent, Cost and Loss calculations during back propagation;
    Deep Learning - techniques and best practices;
    Forward and Backpropagation;
    Some Python Programming; Parameter & Hyperparameter tuning;
    Neural Network Architecture & ML strategies

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    Activities and Societies: Microsoft Learn and Workshops, Experimental Projects

    AI900 Azure Machine Learning techniques - AutoML, Classification, Regression, Clustering,
    Azure Cognitive Services - Custom Vision, Vision API, Language Understanding, Speech Translator API, Knowledge Mining, Entity Linking, Custom Decision, Knowledge Exploration, QnA Maker, Form-recognizer, NLP, Chatbots, Virtual Agents, Anomaly Detector, Azure Cognitive Search.
    Applied AI services - Azure Video Analyzer, Azure Bot Service, Azure Decision AI (NBA/Recommender), Azure Metrics…

    AI900 Azure Machine Learning techniques - AutoML, Classification, Regression, Clustering,
    Azure Cognitive Services - Custom Vision, Vision API, Language Understanding, Speech Translator API, Knowledge Mining, Entity Linking, Custom Decision, Knowledge Exploration, QnA Maker, Form-recognizer, NLP, Chatbots, Virtual Agents, Anomaly Detector, Azure Cognitive Search.
    Applied AI services - Azure Video Analyzer, Azure Bot Service, Azure Decision AI (NBA/Recommender), Azure Metrics Advisor.

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    Activities and Societies: Intrapreneurship and Entrepreneurship case-studies and research.

    Masters in MBA with a special focus on entrepreneurship and finance.

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    Financial Management

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    Activities and Societies: Microprocessors and Fiber-Optic Communications electives (specialization in communications), Additional topics of focus were: C and HTML/Internet Programming, OOD, OOA, OOPS. Perormed additional research for Prof. Basavaraj Desai and Prof. Lingangouda.

    Focus on Telecommunications; Won special awards for participating in multiple annual events (dance competitions and solo performances on stage).

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    From DUKE UNIVERSITY: Going into the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.

    The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. You learn the basic algorithms used for adjusting…

    From DUKE UNIVERSITY: Going into the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.

    The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work. You learn the basic algorithms used for adjusting images, explore JPEG and MPEG standards for encoding and compressing video images, and go on to learn about image segmentation, noise removal and filtering. Finally, we end with image processing techniques used in medicine.

    This course consists of 7 basic modules and 2 bonus (non-graded) modules. There are optional MATLAB exercises; learners will have access to MATLAB Online for the course duration.
    Course Certificate issued.

    http://coursera.org/verify/CNDQQFZLD867

Licenses & Certifications

Volunteer Experience

  • UCSF Health Graphic

    COVID-19 Pandemic Citizen Scientist

    UCSF Health

    - Present 3 years 5 months

    Health

    Helping to contribute in the study of the COVID-19 pandemic. This is a new disease, and our participation, ideas, and survey responses are contributing to our understanding of what COVID-19 is and how to reduce its impact in the world. This is the Citizen Scientist's data gathering exercise sponsored by UCSF EUREKA and SUTTER HEALTH provider.

    As the COVID-19 pandemic recedes (at least in the US), we’re moving into a new phase of the COVID-19 Citizen Science Study. Refocusing and…

    Helping to contribute in the study of the COVID-19 pandemic. This is a new disease, and our participation, ideas, and survey responses are contributing to our understanding of what COVID-19 is and how to reduce its impact in the world. This is the Citizen Scientist's data gathering exercise sponsored by UCSF EUREKA and SUTTER HEALTH provider.

    As the COVID-19 pandemic recedes (at least in the US), we’re moving into a new phase of the COVID-19 Citizen Science Study. Refocusing and reducing questions to what remains most important for us to track and study. There are still huge unknowns about what will happen with COVID-19 variants, whether there will be another surge in Fall/Winter, and how influenza and other viruses might make a comeback.

  • Stanford Institute for Human-Centered Artificial Intelligence (HAI) Graphic

    Contributing Participant

    Stanford Institute for Human-Centered Artificial Intelligence (HAI)

    - Present 4 years 9 months

    Health

  • Resident Technical Advisor

    Save SJ Calabazas Library

    - Present 11 years 8 months

    Education

    https://www.facebook.com/OpenCalabazasSanJoseLibrarySoon

    The San Jose City council has been facing budget issues keeping local library open and operating for more hours. Calabazas library has been closed for 3+ years though it has been renovated in 2012. Support these children in getting it open sooner in 2013 and for more days to help out children who are getting more and more dependent on non-verifiable facts from Wikis, etc.

    Please spread the message and enter your comments via…

    https://www.facebook.com/OpenCalabazasSanJoseLibrarySoon

    The San Jose City council has been facing budget issues keeping local library open and operating for more hours. Calabazas library has been closed for 3+ years though it has been renovated in 2012. Support these children in getting it open sooner in 2013 and for more days to help out children who are getting more and more dependent on non-verifiable facts from Wikis, etc.

    Please spread the message and enter your comments via our survey form:
    Link is: http://svy.mk/X6rfWA

  • Volunteer

    Second Harvest of Silicon Valley

    - Present 1 year 4 months

    Disaster and Humanitarian Relief

    Short stints of volunteering “GIVE” events with and without Microsoft Employees ; helping with food packaging, sorting and distribution

  • Volunteer

    Community Seva Inc.

    - 1 month

    Poverty Alleviation

    Community Seva for Homeless Shelters in Oakland, San Jose and Fremont, CA

  • IEEE Graphic

    Sustainability Advisor

    IEEE

    - 1 year 2 months

    Environment

    Participated in IEEE and Stanford’s Computer Forums for “Planet Positive 2023” initiatives ; leveraging data and data sciences for a sustainable planet drive till 2030 Microsoft Goals

    Https://vimeo.com/830421292 (Video interview with IEEE)

    https://hai.stanford.edu/events/advancing-technology-sustainable-planet


    https://smartcities.ieee.org/newsletter/july-2022/ieee-planet-positive-2030-initiative

    ——-

    The initiative seeks to achieve two primary…

    Participated in IEEE and Stanford’s Computer Forums for “Planet Positive 2023” initiatives ; leveraging data and data sciences for a sustainable planet drive till 2030 Microsoft Goals

    Https://vimeo.com/830421292 (Video interview with IEEE)

    https://hai.stanford.edu/events/advancing-technology-sustainable-planet


    https://smartcities.ieee.org/newsletter/july-2022/ieee-planet-positive-2030-initiative

    ——-

    The initiative seeks to achieve two primary goals:
    Planet Positive 2030 (PP2030): Reduce greenhouse gas (GHG) emissions to 50% of 2005 levels by 2030.
    Enhance the regeneration and resilience of Earth’s ecosystems.
    By bringing together expertise from engineering, technology, science, and academia, the initiative aims to identify technological solutions to achieve these goals.

Publications

  • A cross-industry approach to shorten the time-to-value for AI/ML use-case deployment (3 parts)

    Linkedin

    In this digital age of hyper competition and collaboration, AI/machine-learning enabled use cases hold the key to continuous & disruptive innovation in the post-CoronaVirus new norm business environment. Every industry has the same obstacle-course to go through. After developing the initial experimental use-case, the enterprise needs an agile platform to deploy the model in their production environment in an accelerated manner. Sometimes data scientists and analysts take a lot of time in…

    In this digital age of hyper competition and collaboration, AI/machine-learning enabled use cases hold the key to continuous & disruptive innovation in the post-CoronaVirus new norm business environment. Every industry has the same obstacle-course to go through. After developing the initial experimental use-case, the enterprise needs an agile platform to deploy the model in their production environment in an accelerated manner. Sometimes data scientists and analysts take a lot of time in gathering data and utilizing it in their advanced analytics activities. There is a ‘need for speed’ and ‘efficiency’ of ML operational deployment. Currently there are good options such as GCP & Databricks cloud environments to deploy machine learning enabled use cases in a matter of hours. This document outlines one of the automated approaches for enterprises to deploy machine learning enabled use cases using rapid deployment GCP and Databricks platforms.

    Other authors
    See publication

  • AI/Automation : Navigating Media Workflows Smartly

    MEDIUM

    Navigating Media Workflows Smartly: Importance of Intelligent Media Platforms

    Hollywood films are one of the most popular choice of entertainment across the world. In the not so distant past, viewers outside the US had to wait for months to see the new blockbusters in their local theaters. Additionally, non-English speaking movie goers could not enjoy the shows because content was not dubbed or subtitled in the local languages. In contrast, today we have releases on the same day and…

    Navigating Media Workflows Smartly: Importance of Intelligent Media Platforms

    Hollywood films are one of the most popular choice of entertainment across the world. In the not so distant past, viewers outside the US had to wait for months to see the new blockbusters in their local theaters. Additionally, non-English speaking movie goers could not enjoy the shows because content was not dubbed or subtitled in the local languages. In contrast, today we have releases on the same day and date, spanning across geographies and available in more than 50 local languages, not just in movie theaters but on several new digital channels like Netflix, Hulu, Amazon Prime, YouTube, etc.

    In summary, an intelligently woven technology framework uses voice activated smart workflows based on Media Ontologies and incorporates machine learning/AI to automate workflows across different tools used in the M&E space and hence provides the following benefits.
    - Digital Engagement and Insights
    - Intelligent Media Operations
    - Business Eco-System Collaboration
    - Efficient, Economical Media Engineering and IT

    See publication

  • Content is Still King, But User Experience is the Emperor

    Linkedin

    The Media and Entertainment industry has seen extraordinary disruption while consumers have been among the biggest beneficiaries of the information technology revolution. With unprecedented access and a seemingly endless plethora of choices of entertainment platforms, today’s consumers are spoilt for choice and increasingly forcing content creators and distributors to engage them in immersive experiences anywhere, anytime, and on any device.

    From Augmented Reality (AR) to Virtual…

    The Media and Entertainment industry has seen extraordinary disruption while consumers have been among the biggest beneficiaries of the information technology revolution. With unprecedented access and a seemingly endless plethora of choices of entertainment platforms, today’s consumers are spoilt for choice and increasingly forcing content creators and distributors to engage them in immersive experiences anywhere, anytime, and on any device.

    From Augmented Reality (AR) to Virtual Reality(VR) to live, immersive 4D experiences, and well packaged, personalized bundles of live and on-demand content, consumers are hungry for mind-blowing experiences.

    In this age of dynamic leaps in customer demands, the biggest opportunities for the media and entertainment industry lie in operational streamlining to reduce cost and free up cash flows while enabling a superior digital engagement experience for consumers. The new age of media is already here. It’s time to innovate or get extinct!

    See publication

  • Why the DMCA Needs to Be Modernized

    Corporate Counsel, ALM Publications

    In less than 20 years, law governing safe harbors for digital intermediaries is outdated.

    It has been 18 years since the Digital Millennium Copyright Act (DMCA) was signed into law . It became effective in October 2000, and it has been incorporated into the Copyright Act (Title 17 of the U. S. Code). It was created to balance the security and rights of copyright holders with the growing influence of digital communications. But today it is facing serious criticism about its usefulness…

    In less than 20 years, law governing safe harbors for digital intermediaries is outdated.

    It has been 18 years since the Digital Millennium Copyright Act (DMCA) was signed into law . It became effective in October 2000, and it has been incorporated into the Copyright Act (Title 17 of the U. S. Code). It was created to balance the security and rights of copyright holders with the growing influence of digital communications. But today it is facing serious criticism about its usefulness from every key stakeholder—creators, distributors and consumers alike.

    Congress has taken steps to mitigate these complaints, such as limiting the liability of an internet service provider (ISP) or online service provider (OSP), both critical platforms in content distribution, in user­instigated copyright violations. ...

    Is the DMCA Dead?

    ...

    Via the DMCA, legacy copyright holders, especially larger ones, can effectively silence new content creators and suppress new distribution mediums. It does not encourage customer engagement or encourage a better customer experience. ...

    A review of just a few landmark cases illustrates how complex the landscape has become:

    • In 2010, Universal Music Group (UMG) sued Grooveshark, a "YouTube for audio" service, for the service's use of pre­1972 sound recordings that UMG owned...

    Other authors
    See publication

  • Program Champion

    Analytics Big Data Repository (ABDR) Framworx

    -Assess Big Data systems readiness with the Reference Model
    -Map business drivers to 59 key use cases in the best practice guide
    -Business Value Roadmap & Big Data Analytics Guidebook to implementing Big Data use cases
    -A library of 700+ pre-defined metrics for business operations, cable, fraud management, cyber security & customer experience management to set up measurements for your business.

    Other authors
    See publication

  • Partner Management for the new generation of ecosystems

    Amdocs Whitepaper

    Whitepaper with Amdocs on “Partner Management for the new generation of ecosystems” –Jul.2006 for telecom, mobile and media service providers.

  • Service Provisioning and Mediation for Cable & Satellite

    Amdocs Consulting Division

    Whitepaper for the likes of DIRECTV, DISH, Comcast, Cablevision, and TWC in 2006.

  • Business Process Improvement for Telecom and Content

    Amdocs Business Consulting

    Whitepaper with Amdocs on “ Business Process Improvement for Telecom and Content”- Nov.2005

    Other authors
    • Vernon Crump
    • Sigal Almog
    See publication

  • 'The Lifecycle of an EDR’ (Information Management)

    EMC and KPMG

    Whitepaper with EMC on ‘the Lifecycle of an EDR’ (Information Management) – January 2004

    Other authors
    • EMC

  • Content Billing

    KPMG and BearingPoint

    Whitepaper/Research-paper on ‘Content Billing’ – March 2003

Courses

  • Business Process Framework (eTOM)

    TeleManagement Forum

  • Cloud Architecture: Advanced Concepts

    AU8oYbpyCCgvcqPs3oCo6I6sr

  • Crash course on Creativity

    -

  • Creativity with Music

    -

  • Design Thinking

    -

  • Design Thinking

    -

  • Gamification

    UPENN

  • Google Cloud Platform Fundamentals: Core Infrastructure

    NBL88APL6JHR

  • Google Cloud Study Jam - Cloud AI

    None (see attachment)

  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital {Coursera}

    CNDQQFZLD867

  • Learning ServiceNow : ITSM, Incident and Problem Management

    L9FJqPtWSnytd0voPtEc7g

  • Machine Learning

    -

  • Machine Learning

    -

Projects

  • Analytics BIG Data Repository (ABDR) - International

    Data Analytics is the identification, design and deployment of strategies, processes, skills, systems and data that can provide actionable intelligence resulting in business value. It is about the harnessing of the different varieties, volume, and velocity of data. To execute on this, and deliver improvements in areas such as customer experience or the reduction in customer churn, there are a number of operational issues including data integration. Our project focuses on taking some real world…

    Data Analytics is the identification, design and deployment of strategies, processes, skills, systems and data that can provide actionable intelligence resulting in business value. It is about the harnessing of the different varieties, volume, and velocity of data. To execute on this, and deliver improvements in areas such as customer experience or the reduction in customer churn, there are a number of operational issues including data integration. Our project focuses on taking some real world problems and related use-cases and converting them into actionable intelligence using Big Data Best Practices (contributed to the TMForum).

    Other creators
    See project

  • Personal TV via Natural User Interfaces

    - Present

    Presented this concept and demo at NCTA The Cable Show (Boston) and CableLabs (Keystone, CO) :- Gesture-driven and voice driven TV at Imagine Park: 'Wave Goodbye to Your Remote' and discover natural TV

    Other creators
    See project

  • A Practical Approach for Open Innovation with Crowd-sourced Ideas in the Cable Industry

    -

    An experiment in Idea Analytics & Collaboration for idea mobilization:

    Idea collaboration : Extracting customer ideas from social forums and internal data sources to create a unique repository of solutions for customer issues via VOCiE system

    Increased operational efficiencies : Correlating dissatisfaction of customers across channels with internal data such as trouble ticket information and test data (Total Quality Management)

    Co-creation with strategic partners : Creating…

    An experiment in Idea Analytics & Collaboration for idea mobilization:

    Idea collaboration : Extracting customer ideas from social forums and internal data sources to create a unique repository of solutions for customer issues via VOCiE system

    Increased operational efficiencies : Correlating dissatisfaction of customers across channels with internal data such as trouble ticket information and test data (Total Quality Management)

    Co-creation with strategic partners : Creating and cultivating customer/partner habitats to foster interaction via DESCARTES system

    Other creators
    See project

Honors & Awards

  • AI/ML WORKATHON 2021 Winner

    Microsoft Global Partner Solutions (GPS)

    This badge was awarded to every member of the Care-R-Us WinWire Winner team in AI ML WORKATHON 2021, conducted by Microsoft India during November – December 2021.
    * Type:Experience
    * Level:Advanced
    * Time:Months
    Skills
    * Azure Cognitive Services
    * Azure Databricks
    * Azure Data Factory
    * Azure Logic Apps
    * Azure Machine Learning
    * Power BI
    Earning Criteria
    * Participant

    Participants were onboarded to AI ML Workathon through a nomination…

    This badge was awarded to every member of the Care-R-Us WinWire Winner team in AI ML WORKATHON 2021, conducted by Microsoft India during November – December 2021.
    * Type:Experience
    * Level:Advanced
    * Time:Months
    Skills
    * Azure Cognitive Services
    * Azure Databricks
    * Azure Data Factory
    * Azure Logic Apps
    * Azure Machine Learning
    * Power BI
    Earning Criteria
    * Participant

    Participants were onboarded to AI ML Workathon through a nomination & evaluation process and attended enablement sessions and executed hands on workshops on Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Logic Apps, Azure Data factory, Power BI

    Final solution prototype and demo business pitch was evaluated by a panel of judges amongst a 100 teams with over 80+ partners of Microsoft involved in Data/AI expertise.


    https://www.credly.com/badges/2220922a-af7a-4919-aa50-06e183cd886d/public_url

  • Best in Biz 2020: Most Innovative Product of the Year – Healthcare and Medical: Knowledge Miner

    Best In Biz Awards Inc.

    https://www.bestinbizawards.com/2020-winners-product/

    "Most Innovative Product of the Year – Healthcare and Medical"

    Azure Cloud based "KNOWLEDGE MINER" for HealthCare (Covid-19, Vaccines, ICD-10, RXNorm Codes, etc.) with Graph Db and Ontology interfaces built-in

  • Winner of CIO.IT Competition @ The Cable Show 2014, LA

    NCTA - National Cable and Telecommunications Association

    Topic: "Elevating the Experience: New Ideas for Delivering Best-in-Class Service"

    http://infy.com/1rAbbM5

    Awarded for the Innovation with a VoC (Voice of the Customer) Idea Engine (VoCIE) - patent applied. The competition was held at the Los Angeles Convention Center as part of the larger NCTA event called : THE CABLE SHOW and reviewed by a panel of CIO judges who determined the value of the pitch made for all IT organization in the telecom and media space.

    Today, customers…

    Topic: "Elevating the Experience: New Ideas for Delivering Best-in-Class Service"

    http://infy.com/1rAbbM5

    Awarded for the Innovation with a VoC (Voice of the Customer) Idea Engine (VoCIE) - patent applied. The competition was held at the Los Angeles Convention Center as part of the larger NCTA event called : THE CABLE SHOW and reviewed by a panel of CIO judges who determined the value of the pitch made for all IT organization in the telecom and media space.

    Today, customers consume products and demand services across various channels as opposed to taking the back seat. The end-to-end holistic customer experience is a key differentiator that has major influence on the customer’s buying decisions, Net Promoter Score, brand impressions and sustainability of the customer relationship. Cable operators need to interact, transact and serve the customers across the channels and provide them a seamless experience. And for that, they need to dive deep into understanding the Voice of the Customer (VOC) and mine relevant information from it to address their needs.

    Use Cases
    Unified customer voice – Aggregate and condense customer voice
    Total Quality Management – Correlating dissatisfaction of customers across channels
    Self-Care Optimization – Crowdsource ideas and past solutions and provide them as suggestions
    Co-creation with customers – Facilitate bringing in customer ideas into the cable operators

    Benefits of the solution as realized by our customers:
    1. Efficient idea mobilization -Crowdsourcing ideas from community and actionizing them helped us increase hit rate on community knowledge base by 30%.
    2. Increased operational efficiencies - Ideas generated can be used to fix operational inefficiencies thereby minimizing ticket volume have helped a potential reduction of 7% on in-bound calls.
    3. Improved ROI for better decision making- Easy-to-understand visualizations with drill down capabilities can help in making better business decisions.


  • Innovators Award for Development of Cross-Industry Vendor Evaluation & Selection Framework for Complex & Large Enterprises

    State of Florida

    From the State of Florida, Viroo and his FS consulting team won Innovators award for development of cross-industry vendor evaluation and selection framework for complex and large enterprise vendor’s selection process. The vendor evaluation and selection framework was also utilized by Visa International and Visa USA for the Global Member Billing application (GBMS) modernization initiative. Oracle BRM and ERP along with its process manager + iLOG Jrules turned out to be the optimal solution in…

    From the State of Florida, Viroo and his FS consulting team won Innovators award for development of cross-industry vendor evaluation and selection framework for complex and large enterprise vendor’s selection process. The vendor evaluation and selection framework was also utilized by Visa International and Visa USA for the Global Member Billing application (GBMS) modernization initiative. Oracle BRM and ERP along with its process manager + iLOG Jrules turned out to be the optimal solution in practice.

Languages

  • English

    -

  • French

    -

  • Marathi

    -

  • Hindi

    -

Organizations

  • Chinmaya Mission West

    Volunteer, Social Service

    - Present

    Volunteering for all social service activities feasible during the last many years. e.g. OM Run, Tea service, etc.

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